A Multi-kernel Joint Sparse Graph for SAR Image Segmentation

Author:

Gu Jing,Jiao Licheng,Yang Shuyuan,Liu Fang,Hou Biao,Zhao Zhiqiang

Funder

National Basic Research Program (973 Program) of China

Major Research Plan of the National Natural Science Foundation of China

National Natural Science Foundation of China

Fund for Foreign Scholars in University Research and Teaching Programs

Program for Cheung Kong Scholars and Innovative Research Team in University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Cited by 29 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cross-Modality Features Fusion for Synthetic Aperture Radar Image Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2023

2. SAR Image Segmentation Based on Fisher Vector Superpixel Generation and Label Revision;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

3. Fast SAR Image Segmentation With Deep Task-Specific Superpixel Sampling and Soft Graph Convolution;IEEE Transactions on Geoscience and Remote Sensing;2022

4. Fast Pixel-Superpixel Region Merging for SAR Image Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2021-11

5. An improved feature selection based classifier for prediction of different regions in sar images;Multimedia Tools and Applications;2021-08-21

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